AI Medical Compendium

Permutation-Invariant Quantum Graph Neural Network Based on Variational Quantum Algorithms.

IEEE transactions on neural networks and learning systems Jul 20, 2026

Graph neural networks (GNNs) have demonstrated strong capabilities in graph representation learning but still face limitations in efficiency and scalability. Quantum GNNs (QGNNs) offer a promising alternative. However, existing approaches often fail ... read more

Brain Region-Centered MultiModal Hypergraph Fusion for MCI Conversion Prediction.

IEEE journal of biomedical and health informatics Jul 20, 2026

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with mild cognitive impairment (MCI) as its prodromal stage. Accurate MCI conversion prediction is critical for early intervention and resource allocation. Recently, deep learning-... read more

A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients.

IEEE transactions on bio-medical engineering Jul 20, 2026

OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive care unit (ICU) patients and can cause adverse health effects. In this study, we publish a labelled ICU dataset and bench marks for AF detection. METHO... read more

High Sensitivity and Wide Detection Range MXene/PDMS Flexible Piezoresistive Sensor with Microdome Array for Cervical Posture Recognition.

ACS applied materials & interfaces Jul 20, 2026

Flexible pressure sensors that simultaneously deliver high sensitivity and a broad detection range are highly desirable for wearable electronics but remain constrained by inherent trade-offs. Here, we present a high-performance flexible piezoresistiv... read more

A Secure User Interface for Preclinical Evaluation of AI in Patient Portal Message Management: Tutorial.

JMIR medical informatics Jul 20, 2026

The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic health record (EHR) systems poses significant safety, workflow, and data-governance risks. Here, we pre... read more

A feature-efficient dual-task machine learning framework for predicting bone mineral density and osteoporosis stratification in resource-constrained environments.

PloS one Jul 20, 2026

Osteoporosis is a chronic skeletal disorder characterized by progressive bone mineral density (BMD) loss and structural deterioration, significantly increasing fracture risk. Despite its high prevalence, early detection remains challenging due to its... read more

Multi-class, unsupervised detection and classification of biological and anthropogenic sounds in coral reefs.

PLoS computational biology Jul 20, 2026

Analyzing the complex and diverse soundscapes of ecosystems such as coral reefs remains a challenge for understanding environmental dynamics and processes. While machine learning techniques can significantly improve detection and classification capab... read more

Automated concrete crack detection enhanced by deep learning and generative adversarial networks.

PloS one Jul 20, 2026

Cracks on the surface of concrete structures are an obvious indication of their condition. However, traditional visual inspection methods are significantly influenced by human factors. They are accurate for larger cracks. However, they introduce subj... read more

Fibrillarin-mediated 2'-O-methylation serves as a translation brake on uncapped enterovirus RNA.

PLoS pathogens Jul 20, 2026

2'-O-methylation (Nm) is a key epitranscriptomic mark across diverse RNAs, yet its role in antiviral defense remains largely unexplored. To systematically investigate the landscape and functional significance of internal Nm modifications on enterovir... read more

MicroWorldOmics: All-in-one Desktop Solution for Microbiome Profiling, Virome Analysis, and Unexplored "Dark Matter" Discovery.

Genomics, proteomics & bioinformatics Jul 20, 2026

The large amount of high-throughput sequencing data generated in ecology, medicine, and pharmacology has increased the complexity of data analysis and interpretation. However, the microbiome and virome fields still lack a user-friendly and programmin... read more

Artificial Intelligence Medical Compendium